Artificial Intelligence in Industry 4.0 and 5G Technology
by Pandian Vasant, Elias Munapo, J. Joshua Thomas, Gerhard-Wilhelm Weber
2Decision Support Methodology for Scheduling Orders in Additive Manufacturing
Juan Jesús Tello Rodríguez1 and Lopez‐I Fernando2
1Universidad Autonoma de Nuevo León, Facultad de Ingeniería Mecánica y Eléctrica (FIME), Posgrado en Ingeniería en Sistemas (PISIS), Centro de Investigación y Desarrollo Tecnológico (CIDET), Av. Pedro de Alba S/N, San Nicolás de los Garza, Nuevo León, 66451, México
2Autonomous University of Nuevo León, Department of Mechanical and Electronic Engineering, San Nicolás de los Garza, Nuevo León, México
2.1 Introduction
Additive manufacturing is a family of technologies related to the manufacturing of a three‐dimensional solid from a computerized model by depositing thin layers of material until the part is shaped [1]. It is considered one of the most important emerging technologies at present because it makes possible to attain benefits that are harmoniously coupled with Industry 4.0 and the digitization of manufacturing [2].
The ease of designing parts with Computer‐aided design/Computer‐aided manufacturing (CAD/CAM) software, cheaper development, and variety of materials (metals, paper, ceramics, polymers, etc.), improvements in scanners to “copy” pieces, sculptures, or even living organisms and body parts, among other factors [3] have given a great boost to additive manufacturing technology. In 2019, The additive manufacturing industry had a global increase of 21%, equivalent to almost 12 billion dollars [4]. Despite this increase, it is crucial for ...
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